Distribution network protection setting value digital management system

Abstract

The invention relates to the field of power systems, and discloses a distribution network protection constant value digital management system, which comprises a data dictionary construction module, a constant value input module, a constant value matching module, an adaptation degree analysis module, a constant value recommendation module and a result calling module. Various standard constant values are managed and recorded in a data dictionary, information on a constant value sheet is input into a computer terminal, and constant value information is extracted; standard constant value information in a data dictionary and constant value information extracted from input constant value lists are used for matching analysis, the degree of adaptation between input constant values and standard constant values is analyzed, the constant value lists are sorted, the most conforming constant value lists are recommended, and finally, the constant value lists are sorted. And the result calling module calls the most consistent constant value list, so that the management efficiency and accuracy are improved, the matching accuracy of the constant value is improved, and the management efficiency of the constant value and the constant value list is further improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and more particularly to a digital management system for distribution network protection setting values. Background Art

[0002] With the change of power grid operation conditions, protection setting values need to be frequently adjusted. The traditional manual management method has poor control over on-site execution links, and it is difficult to determine whether the issued setting values are actually implemented, resulting in low management efficiency. Along with the modern power grid's pursuit of automation and intelligence, more accurate and real-time protection setting value management is required. Therefore, a digital management system has emerged. By using computer technology, database technology, and network communication technology to digitally manage setting values, it can promote the standardization of protection setting values and improve the unity and comparability of setting values; However, the above process still has the following disadvantages: Firstly, the existing technology may lack a unified data standard to manage distribution network protection setting values, resulting in chaotic and inaccurate setting value management and unable to accurately achieve standardized management of setting values; Secondly, the existing technology may not be able to accurately match and analyze the entered setting value sheets with the standard setting values, and lack an analysis of the adaptation degree between the entered setting values and the standard setting values, thus unable to accurately make intelligent recommendations for setting value sheets and resulting in low management efficiency of setting values. Summary of the Invention

[0003] In order to overcome the above-mentioned defects of the prior art, the present invention provides a digital management system for distribution network protection setting values to solve the problems existing in the above background art.

[0004] The present invention provides the following technical solutions: A digital management system for distribution network protection setting values, comprising: Data dictionary construction module: By constructing a data dictionary, which contains a database of various standard setting values, and manages and records various standard setting values in the data dictionary. The standard setting values include the standard parameter ranges, setting values, and operation rules of each protection device; Setting value entry module: Used to enter the information on the setting value sheet into the computer terminal. When the user enters a new setting value sheet, the system will analyze the entered setting value, extract the setting value information, and transmit the extracted setting value information to the setting value matching module; Setting value matching module: By using the standard setting value information in the data dictionary to perform matching analysis with the setting value information extracted from the entered setting value sheet, obtaining a matching degree coefficient, initially screening out the conforming setting value sheets according to the matching degree coefficient, and making markings, and transmitting the screening result to the adaptation degree analysis module; Adaptability Analysis Module: Based on the selected fixed-value list, continue to analyze the adaptability between the input fixed values and the standard fixed values, calculate the adaptability coefficient, and transmit the adaptability analysis results to the Fixed-value Recommendation Module; Fixed-value Recommendation Module: Based on the adaptability analysis results, sort all fixed-value lists that meet the adaptability according to the adaptability coefficient, recommend the most suitable fixed-value list, and at the same time transmit the recommendation results to the Result Invocation Module; Result Invocation Module: Based on the recommendation results, invoke the most suitable fixed-value list, directly call the relevant data, store it in the database, and provide it for future queries and uses.

[0005] Preferably, the Data Dictionary Construction Module collects the fixed-value standards related to the industry, classifies and organizes the collected standard fixed values, thereby extracting relevant information. The fixed values in the data dictionary are usually associated with specific parameters or attributes, including temperature, pressure, and voltage; The specific steps for constructing the data dictionary are as follows: Step S11: Analyze the requirements for distribution network protection fixed-value management, clarify the types of objects involved in the system, including equipment, lines, and protection devices, then sort out the relevant information of various objects, including design drawings, equipment parameters, and operation data, and determine the object set; Step S12: According to the object set, classify various objects according to equipment type or voltage level, and assign a unique classification code to each category of objects, thereby establishing a classification coding system to identify and manage the objects; Step S13: Define the data type, data range, and unit for each attribute of each category of objects; Step S14: Analyze the association relationships between objects, including the connection relationships between equipment and the relationships between protection devices and protected equipment, thereby establishing an object relationship set; Step S15: Integrate the object set, classification coding system, object attribute set, and object relationship set into a complete data dictionary, and store and manage the data dictionary through the database.

[0006] Preferably, the user of the Fixed-value Input Module manually enters the information on the fixed-value list into the system on the computer side. The information on the fixed-value list includes equipment name, model, fixed-value type, fixed-value numerical value, operator, and date; analyze the information on the fixed-value list using a predetermined algorithm, and use machine learning technology to identify and extract fixed-value information.

[0007] Preferably, the Fixed-value Matching Module calculates the matching degree coefficient by comparing and analyzing the extracted fixed-value information with the standard fixed values in the data dictionary, which is used to reflect the similarity between the input fixed-value items and the standard fixed-value items, that is, it indicates a high degree of agreement between the input fixed-value items and the standard fixed-value items; The specific analysis method of the matching degree coefficient is as follows: Step S21: By determining the weight coefficient of each fixed value item ; Step S22: For each fixed value item, calculate the matching degree between each fixed value item and the corresponding standard fixed value item in the data dictionary as , represents the number of standard fixed value items in the data dictionary, represents the number of input fixed value items; Step S23: Based on the matching degree between each fixed value and the corresponding standard fixed value in the data dictionary, comprehensively calculate the matching degree coefficient as , represents the weight of the i-th fixed value item, represents the matching degree between the i-th fixed value item and the corresponding standard fixed value item in the data dictionary, represents the adjustment factor, and n represents the total number of fixed value items; By comparing the matching degree coefficient R with the preset matching degree threshold , an initial screening of the conforming fixed value sheets is carried out. If the matching degree coefficient R is less than the preset matching degree threshold , it means that the matching degree between the fixed value information extracted from the input fixed value sheet and the standard fixed value information in the data dictionary is not high, then this fixed value sheet does not meet the screening conditions and is screened out. If the matching degree coefficient R is greater than the preset matching degree threshold , it means that the matching degree between the fixed value information extracted from the input fixed value sheet and the standard fixed value information in the data dictionary is relatively high, and the conforming fixed value sheets are initially screened out. Then, the conforming fixed value sheets are color-coded, and at the same time, the screening results of the conforming fixed value sheets are transmitted to the adaptability analysis module.

[0008] Preferably, the adaptability analysis module further analyzes the adaptability between the input fixed values and the standard fixed values on the basis of the screened fixed value sheets, and uses the calculated adaptability coefficient as the basis for recommending the most conforming fixed value sheets; The adaptability coefficient analyzes the adaptability of each fixed value in the screened fixed value sheets to the fixed values in the standard fixed value information, and the specific calculation formula for calculating the adaptability coefficient is , represents the j-th fixed value in the standard fixed value information, represents the j-th fixed value in the input fixed value sheet, represents the reference value of the j-th fixed value, and N represents the total number of fixed value items screened out; According to the characteristics of the fixed value sheet, an adaptability threshold is set. When the adaptability coefficient C Adaptation threshold When this is the case, the fixed value list is used for recommendation.

[0009] Preferably, the fixed value recommendation module sorts all the fixed value lists that meet the adaptation degree in descending order according to the adaptation degree coefficient C, and selects the fixed value list with the highest adaptation degree coefficient as the most conforming fixed value list for recommendation. If there are multiple fixed value lists with the same or very close adaptation degree coefficients, other factors such as the submission time, priority, and confidence of the fixed value list can be further considered to further make a recommendation decision.

[0010] Preferably, the result calling module recommends the fixed value list with the highest adaptation degree coefficient as the most conforming recommended option according to the sorting result, retrieves the complete information of the recommended fixed value list from the system, and transfers the retrieved fixed value list information to the distribution network protection system for configuration or update.

[0011] Technical effects and advantages of the present invention: The present invention constructs a data dictionary through a data dictionary construction module, manages and records various standard fixed values in the data dictionary, enters the information on the fixed value list into the computer terminal through the fixed value entry module, and extracts the fixed value information. The fixed value matching module uses the standard fixed value information in the data dictionary to perform matching analysis with the fixed value information extracted from the entered fixed value list, so as to select the conforming fixed value list and mark it. The adaptation degree analysis module analyzes the adaptation degree between the entered fixed value and the standard fixed value, and the fixed value recommendation module sorts all the fixed value lists that meet the adaptation degree according to the adaptation degree coefficient and recommends the most conforming fixed value list. Finally, the result calling module calls the most conforming fixed value list. By constructing a data dictionary and recording standard fixed values, the system realizes the standardized management of fixed values, improves the management efficiency and accuracy. By performing matching analysis between the standard fixed value information in the data dictionary and the entered fixed value information, the matching accuracy is improved. By further analyzing the adaptation degree and calculating the adaptation degree coefficient, a more accurate basis is provided for fixed value recommendation, improving the intelligence and accuracy of fixed value recommendation, and further improving the management efficiency of fixed values and fixed value lists. Brief description of the drawings

[0012] Figure 1 It is the system structure block diagram of the present invention. Detailed implementation manners

[0013] Next, the technical solutions in the present invention will be clearly and completely described in conjunction with the accompanying drawings of the present invention. In addition, the forms of each structure described in the following embodiments are merely examples, and a distribution network protection setting value digital management system related to the present invention is not limited to the structures described in the following embodiments. All other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

[0014] As Figure 1 shown, this embodiment provides a distribution network protection setting value digital management system, including: Data dictionary construction module: By constructing a data dictionary, which contains a database of various standard setting values, and managing and recording various standard setting values in the data dictionary. The standard setting values include the standard parameter ranges, setting values, and operation rules of each protection device.

[0015] In this embodiment, the data dictionary construction module collects the setting value standards of industry-related protection devices, classifies and organizes the collected standard setting values, and thus extracts relevant information. The setting values in the data dictionary are usually associated with specific parameters or attributes, including temperature, pressure, and voltage; The specific steps for constructing the data dictionary are as follows: Step S11: Analyze the requirements for distribution network protection setting value management, clarify the types of objects involved in the system, including equipment, lines, and protection devices, then sort out the relevant information of various objects, including design drawings, equipment parameters, and operation data, and determine the object set; Step S12: According to the object set, classify various objects according to equipment type or voltage level, and assign a unique classification code to each category of objects, thereby establishing a classification coding system to identify and manage the objects; Step S13: Define the data type, data range, and unit for each attribute of each category of objects; Step S14: Analyze the association relationships between objects, including the connection relationships between equipment and the relationships between protection devices and protected equipment, thereby establishing an object relationship set; Step S15: Integrate the object set, classification coding system, object attribute set, and object relationship set into a complete data dictionary, and store and manage the data dictionary through a database.

[0016] Setting value entry module: Used to enter the information on the setting value form into the computer terminal. When the user enters a new setting value form, the system will analyze the entered setting value, extract the setting value information, and transmit the extracted setting value information to the setting value matching module.

[0017] In this embodiment, the fixed value entry module allows the user to manually enter the information on the fixed value list into the system on the computer side. The information on the fixed value list includes the device name, model, fixed value type, fixed value, operator, and date. The information on the fixed value list is analyzed using a predetermined algorithm, and machine learning technology is used to identify and extract the fixed value information.

[0018] Fixed value matching module: By using the standard fixed value information in the data dictionary to perform matching analysis with the extracted fixed value information on the entered fixed value list, a matching degree coefficient is obtained. According to the matching degree coefficient, the compliant fixed value lists are initially screened, marked, and the screening results are transmitted to the fitness analysis module.

[0019] In this embodiment, the fixed value matching module calculates the matching degree coefficient by comparing and analyzing the extracted fixed value information with the standard fixed values in the data dictionary, which is used to reflect the similarity between the entered fixed value items and the standard fixed value items, that is, it indicates a high degree of coincidence between the entered fixed value items and the standard fixed value items. The specific analysis method of the matching degree coefficient is as follows: Step S21: By determining the weight coefficient of each fixed value item ; Step S22: For each fixed value item, calculate the matching degree of each fixed value item with the corresponding standard fixed value item in the data dictionary as , represents the number of standard fixed value items in the data dictionary, represents the number of entered fixed value items; Step S23: Based on the matching degree of each fixed value with the corresponding standard fixed value in the data dictionary, comprehensively calculate the matching degree coefficient as , represents the weight of the i-th fixed value item, represents the matching degree of the i-th fixed value item with the corresponding standard fixed value item in the data dictionary, represents the adjustment factor, and n represents the total number of fixed value items; By comparing the matching degree coefficient R with the preset matching degree threshold to initially screen the compliant fixed value lists. If the matching degree coefficient R the preset matching degree threshold , it means that the matching degree between the extracted fixed value information on the entered fixed value list and the standard fixed value information in the data dictionary is not high, then this fixed value list does not meet the screening conditions and is screened out. If the matching degree coefficient R the preset matching degree threshold , it indicates that the fixed value information extracted from the entered fixed value form has a relatively high matching degree with the standard fixed value information in the data dictionary. The compliant fixed value forms are initially screened out, and then the initially screened fixed value forms are color-coded. At the same time, the screening results of the compliant fixed value forms are transmitted to the adaptability analysis module.

[0020] Adaptability analysis module: Based on the screened fixed value forms, continue to analyze the adaptability between the entered fixed value and the standard fixed value, calculate the adaptability coefficient, and transmit the adaptability analysis result to the fixed value recommendation module.

[0021] In this embodiment, the adaptability analysis module further analyzes the adaptability between the fixed value entered on the fixed value form and the standard fixed value based on the screened fixed value forms, and uses the calculated adaptability coefficient as the basis for recommending the most compliant fixed value form; The adaptability coefficient performs an adaptability analysis on each fixed value in the screened fixed value form and the fixed value in the standard fixed value information, and the specific calculation formula for the adaptability coefficient is , represents the j-th fixed value in the standard fixed value information, represents the j-th fixed value in the entered fixed value form, represents the reference value of the j-th fixed value, and N represents the total number of fixed value items screened out; According to the characteristics of the fixed value form, an adaptability threshold is set , when the adaptability coefficient C adaptability threshold is met, then this fixed value form is used for recommendation.

[0022] Fixed value recommendation module: Based on the adaptability analysis result, sort all the fixed value forms that meet the adaptability according to the adaptability coefficient, and recommend the most compliant fixed value form. At the same time, transmit the recommendation result to the result invocation module.

[0023] In this embodiment, the fixed value recommendation module sorts all the fixed value forms that meet the adaptability in descending order according to the adaptability coefficient C, and selects the fixed value form with the highest adaptability coefficient as the most compliant fixed value form for recommendation. If there are multiple fixed value forms with the same or very close adaptability coefficients, other factors such as the submission time, priority, and confidence of the fixed value form can be further considered to make a further recommendation decision.

[0024] Result invocation module: Based on the recommendation result, invoke the most compliant fixed value form, directly call the relevant data, and store it in the database for future query and use.

[0025] In this embodiment, the result calling module recommends the fixed value list with the highest adaptation coefficient as the most suitable recommended option according to the sorting result, retrieves the complete information of the recommended fixed value list from the system, and transfers the retrieved fixed value list information to the distribution network protection system for configuration or update.

[0026] Finally, the above are only the preferred embodiments of the present invention and are not used to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

[0027] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical scope disclosed in this application, and all should be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Claims

1. A digital management system for distribution network protection setting values, characterized in that, Including: Data dictionary construction module: By constructing a data dictionary, which contains a database of various standard values, and manages and records various standard values in the data dictionary. The standard values include the standard parameter ranges, setting values, and operation rules of each protection device; Setting value input module: Used to input the information on the setting value list into the computer terminal. When the user inputs a new setting value list, the system will analyze the input setting value, extract the setting value information, and transmit the extracted setting value information to the setting value matching module; Setting value matching module: By using the standard setting value information in the data dictionary to perform matching analysis with the setting value information extracted from the input setting value list, obtain a matching degree coefficient, initially screen out the conforming setting value lists according to the matching degree coefficient, and perform marking, and transmit the screening result to the fitness analysis module; Fitness analysis module: Based on the screened setting value lists, continue to analyze the fitness between the input setting value and the standard setting value, calculate the fitness coefficient, and transmit the fitness analysis result to the setting value recommendation module; Setting value recommendation module: Based on the fitness analysis result, sort all the setting value lists that meet the fitness according to the fitness coefficient, recommend the most conforming setting value list, and at the same time transmit the recommendation result to the result calling module; Result calling module: Based on the recommendation result, call the most conforming setting value list, directly call the relevant data, and store it in the database, and provide it for future query and use.

2. The digital management system for distribution network protection setting values according to claim 1, characterized in that The data dictionary construction module extracts relevant information by collecting the setting value standards of industry-related protection devices and classifying and sorting the collected standard values. The setting values in the data dictionary are usually associated with specific parameters or attributes, including temperature, pressure, and voltage; The specific steps for constructing the data dictionary are as follows: Step S11: Analyze the requirements for distribution network protection setting value management, clarify the types of objects involved in the system, including equipment, lines, and protection devices, then sort out the relevant materials of various objects, including design drawings, equipment parameters, and operation data, and determine the object set; Step S12: According to the object set, classify various objects according to equipment type or voltage level, and assign a unique classification code to each category of objects, so as to establish a classification coding system for identifying and managing objects; Step S13: Define the data type, data range, and unit for each attribute of each category of objects; Step S14: Analyze the association relationships between objects, including the connection relationships between equipment and the relationships between protection devices and protected equipment, so as to establish an object relationship set; Step S15: Integrate the object set, classification coding system, object attribute set, and object relationship set into a complete data dictionary, and store and manage the data dictionary through a database.

3. A digital management system for distribution network protection setting values according to claim 1, characterized in that, The setting value input module is for the user to manually input the information on the setting value list into the system of the computer terminal. The information on the setting value list includes equipment name, model, setting value type, setting value, operator, and date; Analyze the information on the setting value list by using a predetermined algorithm, and use machine learning technology to identify and extract the setting value information.

4. A digital management system for distribution network protection setting values according to claim 1, characterized in that, The fixed value matching module calculates the matching degree coefficient by comparing and analyzing the extracted fixed value information with the standard fixed values in the data dictionary, which is used to reflect the similarity between the input fixed value items and the standard fixed value items, that is, it indicates a high degree of agreement between the input fixed value items and the standard fixed value items; The specific analysis method of the matching degree coefficient is as follows: Step S21: By determining the weight coefficient of each fixed value item ; Step S22: For each fixed value item, calculate the matching degree between each fixed value item and the corresponding standard fixed value item in the data dictionary as , represents the number of standard fixed value items in the data dictionary, represents the number of input fixed value items; Step S23: Based on the matching degrees between each fixed value and the corresponding standard fixed values in the data dictionary, comprehensively calculate that the matching degree coefficient is , represents the weight of the i-th fixed value item, represents the matching degree between the i-th fixed value item and the corresponding standard fixed value item in the data dictionary, represents the adjustment factor, and n represents the total number of fixed value items; By comparing the matching degree coefficient R with a preset matching degree threshold to initially screen the conforming value sheets. If the matching degree coefficient R is less than the preset matching degree threshold , it means that the extracted value information on the entered value sheet has a low matching degree with the standard value information in the data dictionary. Then, this value sheet does not meet the screening conditions and is screened out. If the matching degree coefficient R is greater than the preset matching degree threshold , it means that the extracted value information on the entered value sheet has a high matching degree with the standard value information in the data dictionary. The conforming value sheets are initially screened out, then the initially screened value sheets are color-coded, and at the same time, the screening results of the conforming value sheets are transmitted to the fitness analysis module.

5. A digital management system for distribution network protection setting values according to claim 1, characterized in that The adaptability analysis module further analyzes the adaptability between the input fixed values on the selected fixed value list and the standard fixed values on the basis of the selected fixed value list, and calculates the adaptability coefficient as the basis for recommending the most suitable fixed value list; The adaptation coefficient conducts an adaptation analysis on each set value in the selected set value list and the set value in the standard set value information, and the specific calculation formula for calculating the adaptation coefficient is , represents the j-th set value in the standard set value information, represents the j-th set value entered in the set value list, represents the reference value of the j-th set value, and N represents the total number of selected set value items; Set an adaptability threshold according to the characteristics of the fixed value list , when the adaptability coefficient C is greater than or equal to the adaptability threshold , then use this fixed value list for recommendation.

6. The digital management system for distribution network protection setting values according to claim 1, wherein, The fixed value recommendation module sorts all the fixed value lists that meet the adaptability according to the adaptability coefficient C from large to small, and selects the fixed value list with the highest adaptability coefficient as the most suitable fixed value list recommendation. If there are multiple fixed value lists with the same or very close adaptability coefficients, other factors such as the submission time, priority and confidence of the fixed value list can be further considered to make a further recommendation decision.

7. The digital management system for distribution network protection setting values according to claim 1, characterized in that, The result calling module recommends the fixed value list with the highest adaptability coefficient as the most suitable recommended option according to the sorting result, retrieves the complete information of the recommended fixed value list from the system, and transfers the retrieved fixed value list information to the distribution network protection system for configuration or update.

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